The proposed signals are used  for electromagnetic-based stroke classification.  Six realistic head phantom computed from MRI scans, is surrounded by an antenna array of 16 dipole antennas distributed uniformly around the head. These antennas are deployed in a fixed circular array around the head, at a distance of approximately 2-3 mm from the head. A Gaussian pulse covering the bandwidth from 0:7 to 2 GHz is emitted from each of the antennas, sequentially, while all of the antennas capture the scattered signals. Since 16 antennas were used, there are a total of 256 channel signals (i.e.

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[1] Guohun Zhu, "DATASET for "Brain Injury Localization and stroke classification in Electromagnetic Imaging Using Graph Approaches"", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/es43-bf10. Accessed: Feb. 07, 2025.
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doi = {10.21227/es43-bf10},
url = {http://dx.doi.org/10.21227/es43-bf10},
author = {Guohun Zhu },
publisher = {IEEE Dataport},
title = {DATASET for "Brain Injury Localization and stroke classification in Electromagnetic Imaging Using Graph Approaches"},
year = {2019} }
TY - DATA
T1 - DATASET for "Brain Injury Localization and stroke classification in Electromagnetic Imaging Using Graph Approaches"
AU - Guohun Zhu
PY - 2019
PB - IEEE Dataport
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Guohun Zhu. (2019). DATASET for "Brain Injury Localization and stroke classification in Electromagnetic Imaging Using Graph Approaches". IEEE Dataport. http://dx.doi.org/10.21227/es43-bf10
Guohun Zhu, 2019. DATASET for "Brain Injury Localization and stroke classification in Electromagnetic Imaging Using Graph Approaches". Available at: http://dx.doi.org/10.21227/es43-bf10.
Guohun Zhu. (2019). "DATASET for "Brain Injury Localization and stroke classification in Electromagnetic Imaging Using Graph Approaches"." Web.
1. Guohun Zhu. DATASET for "Brain Injury Localization and stroke classification in Electromagnetic Imaging Using Graph Approaches" [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/es43-bf10
Guohun Zhu. "DATASET for "Brain Injury Localization and stroke classification in Electromagnetic Imaging Using Graph Approaches"." doi: 10.21227/es43-bf10